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Computer Vision, IEEE International Conference on (2013)
Sydney, Australia Australia
Dec. 1, 2013 to Dec. 8, 2013
ISSN: 1550-5499
pp: 241-248
We present a model for intrinsic decomposition of RGB-D images. Our approach analyzes a single RGB-D image and estimates albedo and shading fields that explain the input. To disambiguate the problem, our model estimates a number of components that jointly account for the reconstructed shading. By decomposing the shading field, we can build in assumptions about image formation that help distinguish reflectance variation from shading. These assumptions are expressed as simple nonlocal regularizers. We evaluate the model on real-world images and on a challenging synthetic dataset. The experimental results demonstrate that the presented approach outperforms prior models for intrinsic decomposition of RGB-D images.

Q. Chen and V. Koltun, "A Simple Model for Intrinsic Image Decomposition with Depth Cues," 2013 IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 2013, pp. 241-248.
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